Chief Technology Officers

Drive Predictable and Efficient

Software Delivery

connected to Business Goals

through Leading Indicators

The Problem

CTOs often face challenges in driving Predictable and Efficient Software Delivery and connecting it to overall Business Goals. The reasons for that include:

  • Not included Traditional metrics focused on outputs and Lagging indicators such as the number of features, story points, pull requests, or bugs found are difficult to translate into business value.
  • Not included The Engineering team is not being appreciated enough.
  • Not included The business and Engineering teams don’t share a common language, leading to important information getting lost in translation.

The Solution

A Software Engineering Intelligence Platform, which uses patented technology to analyze source code with no additional software installations on developers' computers, and no extra input from developers, providing:

  • Leading indicators that monitor the capability of the process, such as predictability, efficiency, rework, and developer happiness
  • Effectively communicate their team's contributions to the company's success.
  • Meaningful insights into the health and progress of their projects, directly linking operational excellence to business goals.

What you will gain

Maximized Productivity

  • Boost Productivity: Measure and optimize the efficiency of knowledge acquisition and application to deliver value faster.
  • Minimize Waste: Reduce errors and rework by identifying areas with high information loss rate and making necessary adjustments.
  • Improve Capability: Benchmark and elevate efficiency across teams, projects, and programs, driving consistent growth and performance.

Improved Developer Experience

  • Foster a Positive Work Environment: Monitor and enhance developer happiness, contributing to a motivated and enthusiastic team.
  • Achieve Reduced Cognitive Load: Quantify mental effort required for tasks, allowing for task simplification and better task allocation to manage developer complexities.
  • Increase Collaboration: Gain insights into the efficiency of information acquisition relative to the number of active developers, ensuring smooth communication and cohesive teamwork.

Aligned leadership team

  • Demystify Data with Intuitive Metrics: Use metrics that resonate with and are easily understood by the entire leadership team, promoting alignment with the CEO, HR, Project Managers, Program Managers, and Engineering Managers. .
  • Bridge Developer Experience with Business Productivity: Correlate the well-being of developers with the economic outcomes, emphasizing the direct impact of a motivated team on productivity.
  • Validate the Impact of their Management Practices: Equip managers with objective data to confidently justify their strategies to other leadership members, ensuring that practices are in line with organizational growth objectives.

Ensure software developers

enjoy their work experience and

realize their potential

When you get results

In just hours, you will transform the extensive history of your company projects into immediate, visual insights with comprehensive diagrams.

Company Collaboration Over Time

  • The diagram showcases the relationship between an organization's capability and its size over distinct period
  • The x-axis delineates time in terms of weeks,
  • The blue line offers a visual trajectory of the organization's average capability variations over the period.
  • The green line provides a representation of the company's growth or reduction in size, with each point signifying the total number of developers contributing during a specific week.

Company Happiness Over Time

  • The diagram visually tracks Happiness level for the company over a selected period
  • On the x-axis, the diagram displays the week dates, while on the y-axis, it shows the Happiness levels.
  • Each colored dot represents an individual developer's Happiness level, and the dark blue line represents the average Happiness level for all developers.

Company Rework (Information Loss Rate) Over Time

  • The diagram presents company Rework (Information Loss Rate) over a selected period.
  • On the x-axis, the diagram displays the week dates, while on the y-axis, it shows the rework levels in bits of information lost.
  • Each colored dot represents an individual developer's rework level, and the dark blue line represents the average rework level for all developers
Available in both SaaS and On-Premise versions

How It Works

KEDEHub platform has three main functions: analyzing Git repositories, calculating Knowledge-centric metrics, and presenting results visually.
KEDEHub is available in both SaaS and On-Premise versions.

Analysis is conducted on local clones of Git repositories.

  • Your source code and commit messages remain secure on your premises, ensuring the protection of your intellectual property.
  • No Intellectual property (IP) is captured through the analysis of the source code and commit messages.
  • The analysis is carried out by an open-source agent, which can be found here.

No Disruptions for Developers

  • There is no need for software installations on developers' computers.
  • Developers are not required to provide any additional input.
  • Consent from developers is not necessary.

Case studies


Setting a Standard for Efficient Innovation: A Look at Solana

Red Hat WildFly

Evaluating the Success of WildFly's Transition to Kanban

Red Hat FeedHenry

Measuring the Impact of Agile on Red Hat's FeedHenry

Getting started